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Fake News Detection model trained using BERT (Bidirectional Encoder Representations from Transformers) and LSTM (Long Short-Term Memory). The saved model can be used to predict user input news.

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bert fake fakenewsdetection ipynb-jupyter-notebook lstm news

fake-news-detection's Introduction

Heeeeloo ๐Ÿ‘‹, Apunn Haseeb Ul Hassan

  • ๐Ÿง‘โ€๐ŸŽ“ Final year Computer Science undergrad at Institute of Space Technology .
  • ๐Ÿ‘€ Iโ€™m interested in Data Science, Machine Learning, Artificial Intelligence, Deep Learning, and Computer Vision.
  • ๐ŸŒฑ Currently working on Deep Learning for custom CNN.
  • ๐Ÿ‘ฏ Currently exploring ultralytics & YOLOv8.
  • ๐Ÿ“ซ Reach me -> [email protected] <-

FYP (Final Year Project)

  • Brain Tumor Classification for Healthcare services
  • Developing custom CNN model architecture
  • Research Writing (Journal)

Languages

MIPS Assembly C++ Python SQL C# HTML CSS R

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